Hey, I'm Hari
I run engineering at a B2B SaaS startup. A while back, I noticed our product marketing person was spending about half her week on competitor research. Checking pricing pages. Googling for news. Manually comparing screenshots to spot what changed. Updating battlecards that were outdated within weeks.
One day she asked me: "Hey, did [competitor] change their pricing last month?"
And I just thought... wait. This is literally just API calls, diffs, and LLM summaries. Why is anyone doing this manually?
So I built Scowt.
What it does
You add a competitor URL. AI figures out what pages to track — pricing, features, blog, changelog. It scrapes them on a schedule. When something changes, it scores how important it is and writes up what it means for you competitively.
High-impact stuff goes straight to Slack. The rest goes into daily or weekly digests. No more "wait, when did they drop their prices?" moments.
Along the way I added news monitoring, funding tracking, G2 and Trustpilot review analysis, Reddit mentions, and AI battlecards that actually stay current.
Why not just use ChatGPT?
ChatGPT can do one-off competitor research. But it can't store structured data over time. It can't ping you when something changes. It can't show you what their pricing looked like 3 months ago.
We're not trying to replace AI. We're the data layer AI should be querying.
The ROI math
A PMM making $120k/year costs about $60/hour. 10 hours a week on manual research is roughly $2,400/month in labor. Even saving 5 hours a week is $1,200/month. Plus you actually find out about pricing changes in real time instead of 3 weeks later from a lost deal.
Enterprise tools like Klue charge $500-2,000/month. We're $49-149/month depending on team size.
Say hi
I read every email. If you have questions, feedback, or just want to chat about competitive intelligence — reach out. I'd love to hear from you.